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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 11016
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    Explanations

    the word "Year" followed by a numerical value, possibly focusing on historical or chronological contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psey
    -0.70
    NetMessage
    -0.69
    ktop
    -0.69
     showc
    -0.69
     externalToEVAOnly
    -0.68
     cumbers
    -0.68
     zipper
    -0.67
    ogle
    -0.66
    ateral
    -0.66
    creen
    -0.65
    POSITIVE LOGITS
    long
    1.19
    book
    1.07
    nings
    1.07
    lings
    1.06
    ning
    1.01
    ns
    0.93
     olds
    0.93
     ago
    0.92
    books
    0.92
     Ago
    0.90
    Activations Density 0.110%

    No Known Activations